Large-Scale Optimization Methods with Application to Design of Filter Networks
Nowadays, large-scale optimization problems are among those most challenging. Any progress in developing methods for large-scale optimization results in solving important applied problems more effectively. Limited memory methods and trust-region methods represent two ecient approaches used for solvi...
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| Format: | Doctoral Thesis |
| Language: | English |
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Linköpings universitet, Optimeringslära
2014
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-103646 http://nbn-resolving.de/urn:isbn:978-91-7519-456-1 (print) |